SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 10761100 of 6092 papers

TitleStatusHype
Collaborative Perception in Autonomous Driving: Methods, Datasets and ChallengesCode1
MMFN: Multi-Modal Fusion Net for End-to-End Autonomous DrivingCode1
Model-free Deep Reinforcement Learning for Urban Autonomous DrivingCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
Enhancing Monocular 3D Scene Completion with Diffusion ModelCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP BenchmarkCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
Model-free Vehicle Tracking and State Estimation in Point Cloud SequencesCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning DatasetsCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
Collaborative Perception Datasets for Autonomous Driving: A ReviewCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
Co-Fix3D: Enhancing 3D Object Detection with Collaborative RefinementCode1
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous DrivingCode1
A Versatile and Efficient Reinforcement Learning Framework for Autonomous DrivingCode1
Model-based Decision Making with Imagination for Autonomous ParkingCode1
Deep Federated Learning for Autonomous DrivingCode1
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-ViewCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified